Today’s data projects require interactive visualizations for them to stand out and impress clients or decision-makers in your organization. There is a growing list of open source dashboarding frameworks that allow data scientists to build user interfaces without having to learn Javascript or HTML.

For example, Volià, described in its simplest form, displays a Jupyter notebook as a user-friendly web app — code cells are hidden, and the notebook is run automatically from top-to-bottom without the user having to shift+enter their way through it. Python-based widget libraries provide simple user controls such as sliders and dropdowns.

Data Scientists and Analysts can start using these frameworks by following a short tutorial. And they clearly have the technical ability to find a way to host the resulting web apps, perhaps on their own laptop temporarily, or by deploying through an AWS account.

#deployment #data-visualization #jupyterhub #dashboard #data-analysis